Nathan A. Magarvey
- Pharmacology top 0.5%
- Microbial Natural Products and Biosynthesis 34
- Biotechnology top 1%
- Marine Sponges and Natural Products 6
- Microbial Metabolism and Applications 3
- Gastroenterology top 5%
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies 16
- Plant biochemistry and biosynthesis 10
- Biochemical and Structural Characterization 7
- RNA and protein synthesis mechanisms 3
- Microbiology top 5%
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- Carbohydrate Chemistry and Synthesis 4
- Co-authors
- Chad W. JohnstonMichael A. SkinniderChris A. DejongMorgan A. WyattHaoxin LiAndrew WebsterXiang LiDavid H. Sherman
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (4 papers)Journal of the American Chemical Society (1 paper)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Nathan A. Magarvey
39 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Pharmacology 1.5k
- Biotechnology 460
- Gastroenterology 133
- Molecular Biology 1.6k
- Microbiology 102
Countries citing papers authored by Nathan A. Magarvey
This map shows the geographic impact of Nathan A. Magarvey's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nathan A. Magarvey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan A. Magarvey more than expected).
Fields of papers citing papers by Nathan A. Magarvey
This network shows the impact of papers produced by Nathan A. Magarvey. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nathan A. Magarvey. The network helps show where Nathan A. Magarvey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nathan A. Magarvey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Comprehensive prediction of secondary metabolite structure and biological activity from microbial genome sequencesbreakdown → | 2020 | 237 |
| 2 | 2018 | 26 | |
| 3 | 2017 | 251 | |
| 4 | 2017 | 38 | |
| 5 | 2016 | 87 | |
| 6 | 2016 | 168 | |
| 7 | 2016 | 94 | |
| 8 | 2016 | 9 | |
| 9 | 2015 | 9 | |
| 10 | 2015 | 106 | |
| 11 | 2015 | 200 | |
| 12 | 2014 | 7 | |
| 13 | 2013 | 21 | |
| 14 | 2013 | 7 | |
| 15 | 2013 | 19 | |
| 16 | 2013 | 6 | |
| 17 | 2013 | 180 | |
| 18 | 2012 | 38 | |
| 19 | 2005 | 41 | |
| 20 | 2004 | 111 |
About Nathan A. Magarvey
Nathan A. Magarvey is a scholar working on Pharmacology, Biotechnology and Molecular Biology, having authored 39 papers that have together received 2.4k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (34 papers), Genomics and Phylogenetic Studies (16 papers), Plant biochemistry and biosynthesis (10 papers), Biochemical and Structural Characterization (7 papers), Marine Sponges and Natural Products (6 papers), Carbohydrate Chemistry and Synthesis (4 papers), Microbial Metabolism and Applications (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Pharmacology (1.5k citations), Biotechnology (460 citations) and Gastroenterology (133 citations). Nathan A. Magarvey has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Chad W. Johnston, Michael A. Skinnider, Chris A. Dejong, Morgan A. Wyatt, Haoxin Li, Andrew Webster, Xiang Li, David H. Sherman, Ashraf Ibrahim and Christine Salomon. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.